Message-ID: <09df3dd7-6c6a-4f7c-b6c2-e9aa9c32afbb@Spark>
Date: 2022-03-09T23:04:34Z
From: Arthur Albuquerque
Subject: [R-meta] Bivariate generalized linear mixed model with {metafor}
In-Reply-To: <b2eebcb48fbb43b1911418e3be495691@UM-MAIL3214.unimaas.nl>
I see. Thank you very much, Wolfgang.
Btw, sorry for my?persistence! This subject *was* a little bit confusing until you elucidated everything.
Best,
Arthur M. Albuquerque
Medical student
Universidade Federal do Rio de Janeiro, Brazil
On Mar 9, 2022, 7:59 PM -0300, Viechtbauer, Wolfgang (SP) <wolfgang.viechtbauer at maastrichtuniversity.nl>, wrote:
> Which correlation are you interested in? And are you even interested in the correlation? If not, it doesn't really matter then.
>
> Best,
> Wolfgang
>
> > -----Original Message-----
> > From: Arthur Albuquerque [mailto:arthurcsirio at gmail.com]
> > Sent: Wednesday, 09 March, 2022 23:51
> > To: r-sig-meta-analysis at r-project.org; Viechtbauer, Wolfgang (SP)
> > Subject: RE: [R-meta] Bivariate generalized linear mixed model with {metafor}
> >
> > Wow, crazy numerical coincidence then.
> >
> > I?ve been wondering about applying Reference [1] model (= your Model 6) in future
> > projects. Can you see any practical reason to apply the?(group | study) syntax
> > instead of (control+treat-1|study)?
> >
> > Best,
> >
> > Arthur M. Albuquerque
> >
> > Medical student
> > Universidade Federal do Rio de Janeiro, Brazil
> >
> > On Mar 9, 2022, 7:47 PM -0300, Viechtbauer, Wolfgang (SP)
> > <wolfgang.viechtbauer at maastrichtuniversity.nl>, wrote:
> >
> > Different parameterizations of the same model.
> >
> > Also, the correlations seems like they just flipped signs, but they are really
> > different things and I suspect it's just coincidence that they happen to be so
> > close in absolute value.
> >
> > With (group | study), you have a random intercept (for the control group logit
> > risk) and a random slope for the group/treatment effect (for the log odds ratio).
> >
> > With (control+treat-1|study), you have random effects for the control and
> > treatment group logit risks. This is the same as (0 + group | study).
> >
> > So really different things are being correlated here. But in the end, it's the
> > same model, parameterized in different ways.
> >
> > Best,
> > Wolfgang
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